Multivariate analysis

Plural variables (item, attribute and the number of dimensions) the data which it has (the multivariate data) of making use, general term of the statistical technique which is used in order to catch the mutual related characteristic between that variable. Multiple regression analysis and discriminant analysis, canonical correlation analysis, main component factor analysis andcluster analysis, multidimensional scale method, there is a technique such as face analysis, quantification analysis

"It summarizes" tendency and the feature which the complicated data has, "cause discovery" and "presumption estimate" it goes with the correlation which it has an influence on the result as clear, or it is effective to the model and the like of the causal relation.

Because also the computational complexity increases explosively, that variable and the data (the record and the sample) number becomes many, utilization of the computer becomes necessary. Conversely, it has reached the point where even in the industry it is utilized, in the wide range such as commodity development and quality control and marketing with the development spread of the computer, including technology field.